As a Senior Data Scientist and IoT Practice Lead at Very, Jeff McGehee works with clients to build data-driven products that interact with the physical world. Jeff is naturally drawn to problems that most people consider “unsolvable,” and he enjoys solving those kinds of problems at Very. Jeff brings his applied mathematics and machine learning knowledge to a vast array of problems and projects involving images, natural language, social graphs, temporal data, and geospatial data.
In addition to holding a patent for his work on computer-implemented intelligent alignment method for color sensing devices, Jeff has published research on optimal torque control of an integrated starter–generator using genetic algorithms.
Jeff holds a BS in Mechanical Engineering from Tennessee Tech University, an MS in Mechanical Engineering from Tennessee Tech University, and an MS in Computer Science with a focus in Machine Learning from Georgia Institute of Technology.